{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:CKMDGID3BFT55ISWUBM2ZBKCAX","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"708284f09eb633db9b1812c363e561e6943679a6a27102b2b3f31d3fd2faed8f","cross_cats_sorted":["cs.MA","cs.RO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-02T21:41:35Z","title_canon_sha256":"5cd1112dd91d16782a80ec64444f75f6fba646bd63248ccb49a5dad659fff8c2"},"schema_version":"1.0","source":{"id":"2002.00497","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.00497","created_at":"2026-07-05T04:03:35Z"},{"alias_kind":"arxiv_version","alias_value":"2002.00497v2","created_at":"2026-07-05T04:03:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.00497","created_at":"2026-07-05T04:03:35Z"},{"alias_kind":"pith_short_12","alias_value":"CKMDGID3BFT5","created_at":"2026-07-05T04:03:35Z"},{"alias_kind":"pith_short_16","alias_value":"CKMDGID3BFT55ISW","created_at":"2026-07-05T04:03:35Z"},{"alias_kind":"pith_short_8","alias_value":"CKMDGID3","created_at":"2026-07-05T04:03:35Z"}],"graph_snapshots":[{"event_id":"sha256:d5076de10ac6f3126dbc2f021758af890946979923d1111c9076b8c655b8bea3","target":"graph","created_at":"2026-07-05T04:03:35Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2002.00497/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Efficient driving in urban traffic scenarios requires foresight. The observation of other traffic participants and the inference of their possible next actions depending on the own action is considered cooperative prediction and planning. Humans are well equipped with the capability to predict the actions of multiple interacting traffic participants and plan accordingly, without the need to directly communicate with others. Prior work has shown that it is possible to achieve effective cooperative planning without the need for explicit communication. However, the search space for cooperative pl","authors_text":"J. Marius Z\\\"ollner, Karl Kurzer, Marcus Fechner","cross_cats":["cs.MA","cs.RO","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-02T21:41:35Z","title":"Accelerating Cooperative Planning for Automated Vehicles with Learned Heuristics and Monte Carlo Tree Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.00497","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:73edd819380fbbb5ae8732ad1e060e7690a974c1948adeabbb5aa130a8c28ac8","target":"record","created_at":"2026-07-05T04:03:35Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"708284f09eb633db9b1812c363e561e6943679a6a27102b2b3f31d3fd2faed8f","cross_cats_sorted":["cs.MA","cs.RO","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-02T21:41:35Z","title_canon_sha256":"5cd1112dd91d16782a80ec64444f75f6fba646bd63248ccb49a5dad659fff8c2"},"schema_version":"1.0","source":{"id":"2002.00497","kind":"arxiv","version":2}},"canonical_sha256":"129833207b0967dea256a059ac854205f36aba44ac53ca47f1f902dbb85dce84","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"129833207b0967dea256a059ac854205f36aba44ac53ca47f1f902dbb85dce84","first_computed_at":"2026-07-05T04:03:35.353144Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:03:35.353144Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3Goa9zSfqm0xfwoGPDuLly4Tnf/9GiFu2318iXgqAAeSo5JAsS8aPuueow2dkm7+V5QqrSrg337b421Z4VAFCw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:03:35.353621Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.00497","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:73edd819380fbbb5ae8732ad1e060e7690a974c1948adeabbb5aa130a8c28ac8","sha256:d5076de10ac6f3126dbc2f021758af890946979923d1111c9076b8c655b8bea3"],"state_sha256":"7bd249921926354cee34c8fd86940a72ebea371cf32e7756e6e8cd08954c0049"}